An uncertainty analysis method for distributed power trading with interval expansion suppression

Konferenz: ECITech 2022 - The 2022 International Conference on Electrical, Control and Information Technology
25.03.2022 - 27.03.2022 in Kunming, China

Tagungsband: ECITech 2022

Seiten: 5Sprache: EnglischTyp: PDF

Autoren:
Lv, Chen; Fan, Menghua; Zhao, Zheng (State Grid Energy Research Institute, Beijing, China)

Inhalt:
Uncertainty of load and distributed generation is one of the key problems affecting distributed power trading. The interval expansion of analysis results limits the application of interval analysis methods in the analysis of distributed power trading. In this paper, an affine interval analysis method to suppress interval expansion is proposed. By improving the approximate calculation method of new noise sources in non affine operation, the interval expansion of calculation results can be effectively suppressed.